Massive capital requirements for GPU clusters limit high-end AI development to a few wealthy firms. This trend creates a structural barrier for smaller researchers and startups. The resulting concentration of compute power shifts control over model weights to corporate entities. Practitioners now face a growing dependency on proprietary cloud infrastructure for training.